株式会社極東書店トップ商品一覧Creating Value with Data Analytics in Marketing : Mastering Data Science. 2nd ed.

商品詳細

Creating Value with Data Analytics in Marketing

Creating Value with Data Analytics in Marketing : Mastering Data Science. 2nd ed.

・ISBN 978-0-367-81978-1 hard GB£ 187.99

¥59,555.- (税込) (※)価格はご注文時の参考価格となります。
納品価格につきましては書籍の入荷時点で確定となります。
版元の原価改定、外国為替の変動等により異なる場合がございますので、予めご了承下さい。

お気に入り

・ISBN 978-0-367-81979-8 paper GB£ 54.99

¥17,420.- (税込) (※)価格はご注文時の参考価格となります。
納品価格につきましては書籍の入荷時点で確定となります。
版元の原価改定、外国為替の変動等により異なる場合がございますので、予めご了承下さい。

お気に入り
電子版あり 大学・学術機関向け電子ブック(eBook)ISBN 9781003011163
著者・編者Verhoef, Peter C. / Kooge, Edwin / Walk, Natasha et al.,
出版社(Routledge, UK)
出版年月2021.11
ページ数314 pp.
言語ENG
ニュース番号<664-1391>

解説

This book is a refreshingly practical yet theoretically sound roadmap to leveraging data analytics and data science. The vast amount of data generated about us and our world is useless without plans and strategies that are designed to cope with its size and complexity, and which enable organizations to leverage the information to create value in marketing.

Creating Value with Data Analytics in Marketing provides a nuanced view of big data developments and data science, arguing that big data is not a revolution but an evolution of the increasing availability of data that has been observed in recent times. Building on the authors' extensive academic and practical knowledge, this book aims to provide managers and analysts with strategic directions and practical analytical solutions on how to create value from existing and new big data. The second edition of this bestselling text has been fully updated in line with developments in the field and includes a selection of new, international cases and examples, exercises, techniques and methodologies.

Tying data and analytics to specific goals and processes for implementation makes this essential reading for advanced undergraduate and postgraduate students and specialists of data analytics, marketing research, marketing management and customer relationship management.

Online resources include chapter-by-chapter lecture slides and data sets and corresponding R code for selected chapters.